apisensr: episensr as a Shiny Application

Denis Haine

The package apisensr provides a graphical interface to the package episensr, quantitative bias analysis for epidemiologic data following methods compiled by Fox et al. in their book “Applying Quantitative Bias Analysis to Epidemiologic Data, 2nd ed.”. A demonstration of its use is available in the paper by Banack, Smith and Bodnar: Application of a Web-based Tool for Quantitative Bias Analysis: The Example of Misclassification Due to Self-reported Body Mass Index (Epidemiology 2024;35(3):359-367).

To run apisensr:

library(apisensr)
run_app()

The following functions are available in episensr and apisensr. Please refer to episensr for more details about these functions, either on CRAN or the episensr website.

Functions available in: episensr apisensr app
selection x x
probsens.sel x x
mbias x x
confounders x x
confounders.emm x x
confounders.poly x x
probsens_conf x x
confounders.array x x
confounders.evalue x
confounders.ext x x
confounders.limit x x
probsens.irr.conf x
misclass x x
probsens x x
misclass_cov x x
probsens.irr x
bootstrap x
multidimBias x x

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